Code for the paper "Block-coordinate primal-dual algorithm for linearly constrained optimization problem"

坐标转换，包括 * 各地图API坐标系统比较与转换; * WGS84坐标系：即地球坐标系，国际上通用的坐标系。设备一般包含GPS芯片或者北斗芯片获取的经纬度为WGS84地理坐标系, * 谷歌地图采用的是WGS84地理坐标系（中国范围除外）; * GCJ02坐标系：即火星坐标系，是由中国国家测绘局制订的地理信息系统的坐标系统。由WGS84坐标系经加密后的坐标系。 * 谷歌中国地图和搜搜中国地图采用的是GCJ02地理坐标系; BD09坐标系：即百度坐标系，GCJ02坐标系经加密后的坐标系; * 搜狗坐标系、图吧坐标系等，估计也是在GCJ02基础上加密而成的。

The lasso function (from scratch) to estimate parameters for an nxp matrix when p >> n

Predicting goodness points of a wine given its reviews

MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3

Experiments for ICML paper DICOD: Distributed Convolutional Coordinate Descent for Convolutional Sparse Coding, ICML 2018, T. Moreau, L. Oudre, N. Vayatis.

Sample Convex Optimization using Gradient Descent, Newton's method and Coordinate Descent

C++ implementation of CCD++

This repository contains codes and functions for Ridge Regression (Normal Eqquation method and Coordinate Descent method) and Lasso Regression (Coordinate Descent method). There is some analysis of the preformance of these funcions/models. There is also a comparison of these with the sklearn.

Use Ridge Regression and Lasso Regression in prostate cancer data

Powell's example of cyclic non-convergence in coordinate descent with exact minimization

Projects done in the AI learning algorithm class @ UCSD

Implementation of algorithms for stereo vision

Machine Learning algorithms built from scratch for AMMI Machine Learning course

The implementation of Coordinate Descent Method Accelerated by Universal Metaalgorithm with efficient amortised complexity of iteration & Experiments with sparse SoftMax function, where the proposed method is better than FGM

Machine-Learning-Regression

Variational Inference in Gaussian Mixture Model

Explanations and Python implementations of Ordinary Least Squares regression, Ridge regression, Lasso regression (solved via Coordinate Descent), and Elastic Net regression (also solved via Coordinate Descent) applied to assess wine quality given numerous numerical features. Additional data analysis and visualization in Python is included.

Coordinate descent